PepperMintyFartBox — CS2 Stats
76561198051941115[U:1:91675387]
Rating over time
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
How this compares with the same rank
Median values for Level 5 among CSDB-tracked players (n=918), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 5 median | Level 6 median | vs Level 6 |
|---|---|---|---|---|
| Headshot rate | 44.6% | 44.2% | 44.9% | meets |
| Shot accuracy | 16.5% | 11.2% | 11.8% | above |
| Kill/death ratio | 1.20 | 1.04 | 1.04 | above |
| Match win rate | 52.3% | 45.3% | 45.3% | above |
Across every metric we can compare, this profile already matches the typical Level 6 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.02 avg rating
Player DNA
Primary style: Clutch Specialist — Late-round 1vX conversion well above par.
Reliable in 1v1s
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match
Plays most like NiKo 81% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower opening-duel success; lower aim profile.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
Strengths & areas to improve
Areas to improve
Reaction time. 607ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.
CSDB Rating breakdown
Composite 4.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
 cache | C | 30 | 12–18 | 40% | -0.00 |
 dust2 | S | 20 | 13–7 | 65% | 0.02 |
 mirage | B | 15 | 7–8 | 47% | -0.01 |
 train | C | 12 | 5–7 | 42% | 0.01 |
| office | B | 10 | 5–5 | 50% | 0.03 |
 nuke | — | 4 | 2–2 | 50% | -0.03 |
 overpass | — | 4 | 1–3 | 25% | -0.02 |
 inferno | — | 3 | 1–2 | 33% | -0.03 |
| grail | — | 1 | 0–1 | 0% | -0.06 |
 ancient | — | 1 | 0–1 | 0% | 0.00 |
Across the last 100 tracked matches.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 3 | 0% | 1.11 | 19.0 |
| Inferno | 1 | 0% | 0.59 | 10.0 |
| Dust2 | 1 | 100% | 1.58 | 19.0 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recommended for you
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4562 — below the 0.5 mark we flag
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 24.3235% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
40% win rate across 30 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 12–12 | 0.03 | 13% | 19 Aug → | |
| cache | 10–13 | -0.01 | 12% | 18 Aug → | |
| cache | 9–13 | 0.01 | 14% | 17 Aug → | |
| cache | 13–7 | 0.05 | 28% | 16 Aug → | |
| cache | 7–13 | 0.00 | 23% | 16 Aug → | |
| cache | 13–11 | 0.02 | 24% | 15 Aug → | |
| cache | 13–11 | 0.04 | 29% | 13 Aug → | |
| cache | 4–13 | 0.04 | 21% | 10 Aug → | |
| cache | 10–13 | -0.02 | 24% | 2 Aug → | |
| cache | 8–13 | -0.00 | 32% | 1 Aug → | |
| cache | 4–2 | -0.03 | 31% | 1 Aug → | |
| cache | 13–9 | 0.02 | 15% | 28 Jul → | |
| cache | 9–13 | 0.03 | 23% | 12 Jul → | |
| nuke | 4–13 | -0.03 | 18% | 12 Jul → | |
| cache | 12–12 | -0.02 | 23% | 11 Jul → | |
| cache | 4–13 | 0.03 | 19% | 15 Jun → | |
| cache | 13–6 | -0.10 | 0% | 15 Jun → | |
| cache | 4–13 | -0.01 | 19% | 15 Jun → | |
| cache | 13–7 | -0.03 | 13% | 13 Jun → | |
| dust2 | 5–0 | 0.10 | 20% | 13 Jun → | |
| cache | 2–13 | -0.10 | 31% | 12 Jun → | |
| dust2 | 11–13 | 0.01 | 22% | 11 Jun → | |
| inferno | 11–13 | -0.07 | 25% | 11 Jun → | |
| cache | 8–8 | -0.11 | 10% | 4 Jun → | |
| mirage | 7–13 | -0.09 | 14% | 4 Jun → | |
| cache | 11–13 | -0.01 | 19% | 23 May → | |
| cache | 13–10 | -0.00 | 10% | 9 May → | |
| cache | 9–13 | -0.09 | 16% | 4 May → | |
| cache | 13–10 | -0.03 | 22% | 4 May → | |
| cache | 1–13 | -0.03 | 15% | 4 May → | |
| cache | 13–5 | 0.12 | 25% | 4 May → | |
| cache | 0–8 | -0.14 | 25% | 4 May → | |
| cache | 13–7 | 0.06 | 21% | 4 May → | |
| cache | 13–0 | 0.07 | 38% | 4 May → | |
| cache | 12–12 | 0.10 | 21% | 3 May → | |
| dust2 | 13–5 | -0.06 | 29% | 21 Apr → | |
| overpass | 8–13 | -0.11 | 13% | 22 Feb → | |
| office | 11–13 | 0.01 | 23% | 2 Feb → | |
| mirage | 12–12 | 0.03 | 26% | 31 Jan → | |
| dust2 | 13–9 | 0.04 | 29% | 29 Jan → | |
| office | 13–11 | 0.04 | 28% | 29 Jan → | |
| dust2 | 13–5 | 0.18 | 38% | 27 Jan → | |
| nuke | 13–10 | -0.02 | 28% | 11 Jan → | |
| mirage | 0–9 | -0.07 | 0% | 29 Dec → | |
| office | 8–13 | 0.01 | 17% | 29 Dec → | |
| dust2 | 7–13 | -0.02 | 9% | 24 Dec → | |
| dust2 | 13–11 | -0.05 | 24% | 22 Dec → | |
| dust2 | 7–0 | -0.06 | 18% | 22 Dec → | |
| dust2 | 10–2 | 0.06 | 23% | 22 Dec → | |
| inferno | 13–3 | 0.05 | 17% | 22 Dec → | |
| nuke | 7–13 | -0.04 | 27% | 22 Dec → | |
| mirage | 13–8 | -0.03 | 27% | 22 Dec → | |
| office | 13–11 | 0.04 | 23% | 21 Dec → | |
| dust2 | 11–13 | -0.02 | 11% | 21 Dec → | |
| nuke | 13–8 | -0.04 | 11% | 13 Dec → | |
| dust2 | 13–11 | -0.02 | 15% | 13 Dec → | |
| inferno | 14–16 | -0.06 | 15% | 27 Oct → | |
| mirage | 13–10 | 0.01 | 14% | 27 Oct → | |
| dust2 | 5–13 | 0.03 | 31% | 27 Oct → | |
| mirage | 7–13 | -0.02 | 5% | 12 Oct → | |
| dust2 | 13–2 | 0.08 | 20% | 12 Oct → | |
| overpass | 16–13 | 0.02 | 19% | 4 Oct → | |
| dust2 | 13–7 | 0.03 | 15% | 25 Sept → | |
| overpass | 8–13 | -0.03 | 19% | 24 Sept → | |
| office | 10–13 | 0.02 | 44% | 6 Aug → | |
| mirage | 13–11 | -0.03 | 30% | 28 Jul → | |
| office | 13–11 | 0.00 | 32% | 7 Jul → | |
| office | 11–13 | -0.00 | 28% | 31 May → | |
| mirage | 13–3 | -0.05 | 16% | 27 May → | |
| mirage | 3–13 | 0.03 | 18% | 20 May → | |
| grail | 4–13 | -0.06 | 20% | 20 May → | |
| train | 13–8 | 0.02 | 46% | 28 Feb → | |
| train | 6–0 | 0.08 | 33% | 27 Feb → | |
| dust2 | 7–13 | 0.03 | 25% | 27 Feb → | |
| dust2 | 12–12 | 0.03 | 20% | 25 Feb → | |
| mirage | 13–9 | 0.12 | 34% | 25 Feb → | |
| overpass | 8–13 | 0.05 | 13% | 23 Feb → | |
| train | 4–13 | -0.01 | 26% | 11 Feb → | |
| train | 5–13 | -0.05 | 28% | 1 Feb → | |
| train | 13–9 | 0.02 | 28% | 1 Feb → | |
| train | 2–13 | -0.03 | 59% | 1 Feb → | |
| mirage | 6–13 | -0.02 | 10% | 1 Feb → | |
| train | 13–6 | 0.08 | 18% | 30 Jan → | |
| train | 11–13 | -0.03 | 16% | 28 Jan → | |
| mirage | 6–13 | -0.02 | 30% | 26 Jan → | |
| dust2 | 11–5 | 0.05 | 31% | 26 Jan → | |
| mirage | 13–8 | 0.03 | 24% | 22 Jan → | |
| office | 10–0 | 0.05 | 36% | 20 Jan → | |
| train | 12–12 | 0.08 | 25% | 20 Jan → | |
| train | 6–13 | -0.05 | 9% | 12 Jan → | |
| office | 13–11 | 0.13 | 25% | 9 Jan → | |
| mirage | 13–9 | 0.07 | 14% | 9 Jan → | |
| ancient | 11–13 | 0.00 | 18% | 6 Jan → | |
| train | 11–13 | -0.04 | 35% | 6 Jan → | |
| dust2 | 13–3 | 0.01 | 40% | 23 Dec → | |
| dust2 | 13–11 | -0.01 | 23% | 16 Dec → | |
| dust2 | 11–13 | 0.03 | 24% | 14 Dec → | |
| office | 4–13 | -0.01 | 21% | 7 Dec → | |
| train | 13–11 | 0.01 | 24% | 7 Dec → | |
| mirage | 4–13 | -0.04 | 13% | 4 Dec → |
Match data via Leetify.
